'''simple docstring'''






import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
_UpperCAmelCase    :     Optional[int]         =       logging.getLogger(__name__)

if __name__ == "__main__":
   _UpperCAmelCase    :     Tuple         =       argparse.ArgumentParser(
       description='''Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'''
   )
   parser.add_argument(
       '''--data_file''', type=str, default='''data/dump.bert-base-uncased.pickle''', help='''The binarized dataset.'''
   )
   parser.add_argument(
       '''--token_counts_dump''', type=str, default='''data/token_counts.bert-base-uncased.pickle''', help='''The dump file.'''
   )
   parser.add_argument('''--vocab_size''', default=3_05_22, type=int)
   _UpperCAmelCase    :     int         =       parser.parse_args()

   logger.info(F'''Loading data from {args.data_file}''')
   with open(args.data_file, '''rb''') as fp:
      _UpperCAmelCase    :     str         =       pickle.load(fp)

   logger.info('''Counting occurrences for MLM.''')
   _UpperCAmelCase    :     Optional[int]         =       Counter()
   for tk_ids in data:
      counter.update(tk_ids)
   _UpperCAmelCase    :     Union[str, Any]         =       [0] * args.vocab_size
   for k, v in counter.items():
      _UpperCAmelCase    :     Union[str, Any]         =       v

   logger.info(F'''Dump to {args.token_counts_dump}''')
   with open(args.token_counts_dump, '''wb''') as handle:
      pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)











"""simple docstring"""
import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property



@unittest.skipUnless(os.path.exists(a_)							,	"""Tatoeba directory does not exist.""")
class        UpperCamelCase__ (				unittest.TestCase):







    """simple docstring"""







    @cached_property
    def 				a__			(		self :	int ):





           '''simple docstring'''

           __magic_name__      				=    tempfile.mkdtemp()
           return TatoebaConverter(save_dir=UpperCamelCase_ )







    @slow
    def 				a__			(		self :	List[str] ):





           '''simple docstring'''

           self.resolver.convert_models(['heb-eng'] )







    @slow
    def 				a__			(		self :	Tuple ):





           '''simple docstring'''

           __magic_name__				,  __magic_name__      				=    self.resolver.write_model_card('opus-mt-he-en'				,    dry_run=UpperCamelCase_ )
           assert mmeta["long_pair"] == "heb-eng"